code: def __init__(self, users, items, ratings, bias):
      self.users = users
      self.items = items
      self.ratings = ratings
      self.bias = bias
      self.n_samples = users.shape[0]
  
      assert items.shape[0] == self.n_samples
      assert ratings.shape[0] == self.n_samples
      assert bias.shape[0] == self.n_samples
  
imports: import logging
  import time
  import pandas
  import numpy
  import numba
  from seedbank import numpy_rng
  from .bias import Bias
  from .mf_common import MFPredictor
  from ..None import util
label_desc: Use image node_id 1 to create a new Context object  with example: obj = Context(users, items, ratings, bias)